Results 111 to 120 of about 67,828 (312)

Mechanical Behavior and Fracture Mechanisms of MXene/PVDF Nanocomponsites: In Situ Characterization and Multiscale Analysis

Advanced Functional Materials, EarlyView.
Multiscale experiments and modeling reveal how Ti3C2Tx MXene nanosheets reinforce PVDF nanocomposites. An optimal MXene loading (∼1 wt.%) nearly doubles tensile strength through efficient stress transfer, flake alignment, and crack‐deflection mechanisms, transforming ductile polymer behavior into a controlled multi‐stage fracture pathway which aligns ...
Bita Soltan Mohammadlou, James FitzPatrick, Li Meng, Kateryna Shevchuk, Ahmad Najafi, Yury Gogotsi   +5 more
wiley   +1 more source

The provision of informal care in terminal illness: An analysis of carers? needs using a discrete choice experiment [PDF]

There is an increasing expectation that families will provide care at home for those with chronic, acute and terminal illness. There is a range of services available to support the home care of these patients.
Patricia Kenny, Ishrat Hossain, Jane Hall   +2 more
core  

Exploring an Alternative to mRNA Vaccine Cold Chain Storage: MRNA‐Lipid Nanoparticle Stability When Dried in a Polymer Matrix

Advanced Functional Materials, EarlyView.
The nanostructure, size, and function of mRNA‐loaded lipid nanoparticles are evaluated before drying, within polymer microneedles, and after rehydration. The results reveal the polymer and LNP loadings required to recover nanostructure and preserve the delivery performance in dry‐state formulations.
Brendan P. Dyett, Shahad K. Alsaiari, John L. Daristotle, Timothy A. Forster, Alicia Lau, Dhruv Varshney, Rania Afaneh, Andrew R. Hanna, Charles Sloane, David Mankus, Haitao Yu, Jiali Zhai, DongSoo Yun, Lisa H. Tostanoski, Abigail Lytton‐Jean, Dan H. Barouch, Charlotte E. Conn, Robert Langer, Ana Jaklenec, Calum J. Drummond   +19 more
wiley   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

Electrode and Microstructure Dependence of Oxygen Diffusion in Ferroelectric Hafnium Zirconium Oxide Thin Films

Advanced Functional Materials, EarlyView.
Significant nanoscale oxygen diffusion coefficient variations are measured in ferroelectric hafnium zirconium oxide films with grain boundaries and electrode interfaces exhibiting values 104 times larger than the grain cores. Overall coefficients are 10X larger for films prepared with metal nitride electrodes compared to refractory metals. New insights
Liron Shvilberg, Thomas W. Pfeifer, Chuanzhen Zhou, Yong Kyu Choi, Duk‐Hyun Choe, Patrick E. Hopkins, Jon F. Ihlefeld   +6 more
wiley   +1 more source

Using Discrete Choice Modelling in the Marketing of Higher Education in the North East of England

Since 1952 students at English universities have received grants towards covering the cost of their university education. Nevertheless, in September 1998, students for the first time were expected to contribute towards the cost of their undergraduate ...
Sutherland, Matthew
core  

Preferences for coordinated care for rare diseases: discrete choice experiment

Orphanet Journal of Rare Diseases
Background Evidence suggests that coordination of care for people affected by rare diseases is poor. In order to improve the way that care is coordinated it is necessary to understand the preferences of people affected by these conditions, and providers.
Stephen Morris, Holly Walton, Amy Simpson, Kerry Leeson-Beevers, Lara Bloom, Amy Hunter, Angus I. G. Ramsay, Naomi J. Fulop, Lyn S. Chitty, Joe Kai, Alastair G. Sutcliffe, Maria Kokocinska, Larissa Kerecuk, Christine A. Taylor, Pei Li Ng   +14 more
doaj   +1 more source

Myeloma Patient Value Mapping: A Discrete Choice Experiment on Myeloma Treatment Preferences in the UK

Patient Preference and Adherence, 2020
Simon Fifer,1 Jayne Galinsky,2 Sarah Richard3 1Community and Patient Preference Research (CaPPRe), Sydney, NSW, Australia; 2Myeloma UK, Edinburgh, Scotland; 3PRMA, Edinburgh, ScotlandCorrespondence: Simon FiferCommunity and Patient Preference Research ...
Fifer S, Galinsky J, Richard S
doaj  

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

Advanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone, Meng Tang, Camelia Florica, Bin He, Jingkai Xu, Selma Amara, Georgian Melinte, Xixiang Zhang, Gianluca Setti   +8 more
wiley   +1 more source

Pretesting Discrete-Choice Experiments: A Guide for Researchers

The Patient - Patient-Centered Outcomes Research
Discrete-choice experiments (DCEs) are a frequently used method to explore the preferences of patients and other decision-makers in health. Pretesting is an essential stage in the design of a high-quality choice experiment and involves engaging with representatives of the target population to improve the readability, presentation, and structure of the ...
Nicola B. Campoamor, Christi J. Guerrini, Whitney Bash Brooks, John F. P. Bridges, Norah L. Crossnohere   +4 more
openaire   +2 more sources